AI Use Case

Predict potential adverse effects when drugs taken are combined

Combining medications can produce negative side effects - and potentially mitigate the positive impact. Issues for this include limited overlap case studies, decentralised information and unclear cause and effect. Using AI on appropriate data sets can uncover previously unnoticed correlations. Note that 11% of the US population claim to have used at least 5 medications in a given 30-day period.


R And D

Core Research And Development


Risk reduction - Patient outcomes,Risk reduction - Mortality rate,Risk reduction - Recovery rate

Case Studies

University of Kansas Medical Center~University of Kansas Medical Center identify drug interactions causing adverse effects in patients using a new method increasing accuracy by 10%,Stanford University~Researchers at Stanford University develop an approach for modeling polypharmacy side effects with graph convolutional networks outperforming baselines by up to 69%,Healx~Healx's scientist predicts effectiveness of combinations of antibiotics using machine learning



Pharmaceuticals And Biotech

Data Sets

Structured / Semi-structured

AI Technologies

ML Task - Prediction - Binary Classification,Traditional AI,Machine Learning (ML)

Potential Vendors